BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//programme.europython.eu//europython-2024//speaker//QCRLA
 F
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-europython-2024-TBBKAM@programme.europython.eu
DTSTART;TZID=CET:20240712T143500
DTEND;TZID=CET:20240712T150500
DESCRIPTION:Fully Homomorphic Encryption (FHE) is a privacy-enhancing techn
 ology that enables performing computations over encrypted data. FHE has re
 cently seen a lot of progress\, and commercial applications of FHE are now
  available. One of the main application domains for FHE is privacy-preserv
 ing machine learning. We introduce a Python interface for OpenFHE\, a popu
 lar open-source FHE C++ software library that supports all common FHE sche
 mes. OpenFHE is a NumFocus-sponsored open-source project that has been aut
 hored by a community of well-known FHE cryptographers and software enginee
 rs.The talk provides a high-level introduction to FHE and its applications
 \, and then provides an overview of the Python API. Several examples are p
 resented to both illustrate FHE concepts and show the practicality of the 
 technology.\n\nMore information about the OpenFHE project: \n* Main websit
 e: https://www.openfhe.org/ \;\n* OpenFHE discourse forum: https://openfhe
 .discourse.group/ \;\n* Main OpenFHE repository: https://github.com/openfh
 eorg/openfhe-development \;\n* OpenFHE organization: https://github.com/op
 enfheorg \;\n* Main OpenFHE design paper: https://eprint.iacr.org/2022/915
  \;
DTSTAMP:20260617T070831Z
LOCATION:North Hall
SUMMARY:​​Encrypted computing in Python using OpenFHE - Sukanya Mandal
URL:https://programme.europython.eu/europython-2024/talk/TBBKAM/
END:VEVENT
END:VCALENDAR